AI FinOps Product

Turn AI spend into accountable product value.

AI FinOps gives finance, engineering, and product teams one ledger for model usage, delivery work, and customer outcomes.

product.positioning

From provider bill to product decision.

AI usage dashboards can show consumption, but companies still need to know which product work created the spend, whether delivery friction changed the return, and which AI investments deserve more capacity.

One source of truth

Token-level usage

Reconcile provider usage and cost across the AI services your teams already use.

Meaningful allocation

Work and feature attribution

Connect AI activity to projects, work items, features, and delivery signals.

Business context

Cost alongside value

Bring incidents, revenue events, and customer usage into the same decision view.

Functionality

Answer the questions a usage dashboard cannot.

AI FinOps connects spend, engineering delivery, product features, and customer value so AI investment decisions can be explained across teams.

/01

What did this AI feature cost?

Attribute token and provider cost to the product work that created it, not just a broad team budget.

/02

Is delivery friction eroding the return?

Bring pull requests, reviews, CI activity, deployments, incidents, and rollbacks into the cost picture.

/03

Where should we invest next?

Compare feature cost with revenue and customer-value events to make the next AI decision with evidence.

Shared accountability

One operating view for the teams responsible for AI outcomes.

The product is built for the conversations that normally happen across finance reports, engineering tools, product planning, and customer-value reviews.

team

Finance

Reconcile AI spend and report cost with business context instead of isolated provider invoices.

team

Engineering

See usage and delivery cost without waiting for monthly billing exports or manual spreadsheet work.

team

Product

Evaluate AI feature investment with customer usage, delivery activity, and revenue signals together.

Capabilities

Make AI investment explainable.

Use AI FinOps when the organisation needs more than raw provider usage and wants AI cost connected to work, features, and outcomes.

·AI cost management
·LLM cost attribution
·Token cost tracking
·Provider usage reconciliation
·Project and work-item allocation
·Feature-level investment view
·Delivery and incident context
·AI ROI decision support
Try the product

Start with a ledger your organisation can trust.

Open the AI FinOps product to create a workspace or sign in to an existing one.